code: def create_ever_features(table, **kwargs):
      chronometer = Chronometer.makeStarted()
      query = """SELECT loan_id,
          max(current_loan_delinquency_status) >= 1 as ever_30,
          max(current_loan_delinquency_status) >= 3 as ever_90,
          max(current_loan_delinquency_status) >= 6 as ever_180
          FROM main.perf group by loan_id"""
      result = pyblazing.run_query(query, {table.name: table.columns})
      Chronometer.show(chronometer, "Create Ever Features")
      return result
  
imports: import time
  import pandas
  import pyblazing
  from pyblazing import DriverType, FileSystemType
  from sklearn.model_selection import train_test_split
  import xgboost
  from Configuration import Settings
  from DataBase import createSchema
  from DemoTest.chronometer import Chronometer
  from Utils import Execution
label_desc: Use image node_id 8 for calling a global function with example usage: create_ever_features(table) and returns: result